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Learning of neural networks with GA-based instance selection
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)
◽
10.1109/nafips.2001.944394
◽
2002
◽
Cited By ~ 13
Author(s):
H. Ishibuchi
◽
T. Nakashima
◽
M. Nii
Keyword(s):
Neural Networks
◽
Instance Selection
Download Full-text
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An Analysis of Instance Selection for Neural Networks to Improve Training Speed
2014 13th International Conference on Machine Learning and Applications
◽
10.1109/icmla.2014.52
◽
2014
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Cited By ~ 3
Author(s):
Xunhu Sun
◽
Philip K. Chan
Keyword(s):
Neural Networks
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Instance Selection
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Selection For
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Artificial neural networks with evolutionary instance selection for financial forecasting
Expert Systems with Applications
◽
10.1016/j.eswa.2005.10.007
◽
2006
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Vol 30
(3)
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pp. 519-526
◽
Cited By ~ 108
Author(s):
Kyoung-jae Kim
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Instance Selection
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Financial Forecasting
◽
Selection For
◽
Artificial Neural
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Instance Selection with Neural Networks for Regression Problems
Artificial Neural Networks and Machine Learning – ICANN 2012 - Lecture Notes in Computer Science
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10.1007/978-3-642-33266-1_33
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2012
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pp. 263-270
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Cited By ~ 10
Author(s):
Mirosław Kordos
◽
Marcin Blachnik
Keyword(s):
Neural Networks
◽
Instance Selection
◽
Regression Problems
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Improving the Performance of Artificial Neural Networks via Instance Selection and Feature Dimensionality Reduction
International Journal of Machine Learning and Computing
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10.7763/ijmlc.2013.v3.297
◽
2013
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pp. 176-189
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Cited By ~ 2
Author(s):
Ali Abroudi
◽
Mohammad Shokouhifar
◽
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Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Dimensionality Reduction
◽
Instance Selection
◽
Artificial Neural
◽
Feature Dimensionality Reduction
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Analysis of instance selection algorithms on large datasets with Deep Convolutional Neural Networks
2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT)
◽
10.1109/lisat.2016.7494142
◽
2016
◽
Cited By ~ 4
Author(s):
Saleh Albelwi
◽
Ausif Mahmood
Keyword(s):
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◽
Convolutional Neural Networks
◽
Large Datasets
◽
Instance Selection
◽
Deep Convolutional Neural Networks
◽
Selection Algorithms
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Determination of S-N curves with the application of artificial neural networks
Fatigue & Fracture of Engineering Materials & Structures
◽
10.1046/j.1460-2695.1999.00198.x
◽
1999
◽
Vol 22
(8)
◽
pp. 723-728
◽
Cited By ~ 1
Author(s):
Artymiak
◽
Bukowski
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Zenner
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Artificial Neural Networks
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Review of Pattern Recognition by Self-Organizing Neural Networks.
Contemporary Psychology
◽
10.1037/004153
◽
1995
◽
Vol 40
(11)
◽
pp. 1110-1110
Author(s):
Stephen James Thomas
Keyword(s):
Neural Networks
◽
Pattern Recognition
◽
Self Organizing
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Supplemental Material for Neural Networks Learn Highly Selective Representations in Order to Overcome the Superposition Catastrophe
Psychological Review
◽
10.1037/a0035943.supp
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2014
◽
Keyword(s):
Neural Networks
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Temporal processing with neural networks
PsycEXTRA Dataset
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10.1037/e443612005-001
◽
1998
◽
Author(s):
Jeffrey L. Elman
Keyword(s):
Neural Networks
◽
Temporal Processing
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Recording and Analysis of Biological Neural Networks
PsycEXTRA Dataset
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10.1037/e443872005-001
◽
1998
◽
Author(s):
Howard Eichenbaum
◽
Keyword(s):
Neural Networks
◽
Biological Neural Networks
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